Overview

Dataset statistics

Number of variables23
Number of observations2126
Missing cells0
Missing cells (%)0.0%
Duplicate rows11
Duplicate rows (%)0.5%
Total size in memory382.1 KiB
Average record size in memory184.1 B

Variable types

NUM20
CAT2
BOOL1

Warnings

Dataset has 11 (0.5%) duplicate rows Duplicates
Median is highly correlated with Mode and 1 other fieldsHigh correlation
Mode is highly correlated with MedianHigh correlation
Mean is highly correlated with MedianHigh correlation
AC has 894 (42.1%) zeros Zeros
FM has 1311 (61.7%) zeros Zeros
UC has 332 (15.6%) zeros Zeros
DL has 1231 (57.9%) zeros Zeros
DP has 1948 (91.6%) zeros Zeros
ALTV has 1240 (58.3%) zeros Zeros
MLTV has 137 (6.4%) zeros Zeros
Nmax has 107 (5.0%) zeros Zeros
Nzeros has 1624 (76.4%) zeros Zeros
Variance has 187 (8.8%) zeros Zeros

Reproduction

Analysis started2020-10-14 05:02:19.822713
Analysis finished2020-10-14 05:04:32.341406
Duration2 minutes and 12.52 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

LB
Real number (ℝ≥0)

Distinct48
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.303857
Minimum106
Maximum160
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:32.616657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile119
Q1126
median133
Q3140
95-th percentile149
Maximum160
Range54
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.840844258
Coefficient of variation (CV)0.07382265209
Kurtosis-0.2929429111
Mean133.303857
Median Absolute Deviation (MAD)7
Skewness0.02031218895
Sum283404
Variance96.8422157
MonotocityNot monotonic
2020-10-14T13:04:32.981228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
1331366.4%
 
1301115.2%
 
1221095.1%
 
1381034.8%
 
125914.3%
 
128854.0%
 
120783.7%
 
144773.6%
 
142773.6%
 
132763.6%
 
Other values (38)118355.6%
 
ValueCountFrequency (%) 
10670.3%
 
110211.0%
 
112160.8%
 
114110.5%
 
115281.3%
 
ValueCountFrequency (%) 
1601< 0.1%
 
159120.6%
 
158100.5%
 
15740.2%
 
15640.2%
 

AC
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00317826905
Minimum0
Maximum0.019
Zeros894
Zeros (%)42.1%
Memory size16.6 KiB
2020-10-14T13:04:33.248664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.002
Q30.006
95-th percentile0.011
Maximum0.019
Range0.019
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.003865590954
Coefficient of variation (CV)1.216256677
Kurtosis0.7676482604
Mean0.00317826905
Median Absolute Deviation (MAD)0.002
Skewness1.204392079
Sum6.757
Variance1.494279343e-05
MonotocityNot monotonic
2020-10-14T13:04:33.561066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
089442.1%
 
0.0031617.6%
 
0.0021607.5%
 
0.0011436.7%
 
0.0041175.5%
 
0.0061125.3%
 
0.0051105.2%
 
0.0081034.8%
 
0.007914.3%
 
0.009602.8%
 
Other values (10)1758.2%
 
ValueCountFrequency (%) 
089442.1%
 
0.0011436.7%
 
0.0021607.5%
 
0.0031617.6%
 
0.0041175.5%
 
ValueCountFrequency (%) 
0.0191< 0.1%
 
0.01820.1%
 
0.01740.2%
 
0.01670.3%
 
0.01590.4%
 

FM
Real number (ℝ≥0)

ZEROS

Distinct102
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009480714958
Minimum0
Maximum0.481
Zeros1311
Zeros (%)61.7%
Memory size16.6 KiB
2020-10-14T13:04:33.896149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003
95-th percentile0.028
Maximum0.481
Range0.481
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.04666584447
Coefficient of variation (CV)4.922186214
Kurtosis64.26082063
Mean0.009480714958
Median Absolute Deviation (MAD)0
Skewness7.811477236
Sum20.156
Variance0.00217770104
MonotocityNot monotonic
2020-10-14T13:04:34.333554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0131161.7%
 
0.0011647.7%
 
0.0021125.3%
 
0.003884.1%
 
0.004492.3%
 
0.005361.7%
 
0.006311.5%
 
0.007281.3%
 
0.01251.2%
 
0.009251.2%
 
Other values (92)25712.1%
 
ValueCountFrequency (%) 
0131161.7%
 
0.0011647.7%
 
0.0021125.3%
 
0.003884.1%
 
0.004492.3%
 
ValueCountFrequency (%) 
0.4811< 0.1%
 
0.4771< 0.1%
 
0.471< 0.1%
 
0.4691< 0.1%
 
0.4551< 0.1%
 

UC
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004366415804
Minimum0
Maximum0.015
Zeros332
Zeros (%)15.6%
Memory size16.6 KiB
2020-10-14T13:04:34.720869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002
median0.004
Q30.007
95-th percentile0.009
Maximum0.015
Range0.015
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.002946069133
Coefficient of variation (CV)0.6747110822
Kurtosis-0.6350712284
Mean0.004366415804
Median Absolute Deviation (MAD)0.002
Skewness0.1593145461
Sum9.283
Variance8.679323336e-06
MonotocityNot monotonic
2020-10-14T13:04:35.047387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
033215.6%
 
0.00529013.6%
 
0.00424411.5%
 
0.00623110.9%
 
0.00721610.2%
 
0.00321210.0%
 
0.0081607.5%
 
0.0021607.5%
 
0.0011185.6%
 
0.009823.9%
 
Other values (6)813.8%
 
ValueCountFrequency (%) 
033215.6%
 
0.0011185.6%
 
0.0021607.5%
 
0.00321210.0%
 
0.00424411.5%
 
ValueCountFrequency (%) 
0.0151< 0.1%
 
0.01420.1%
 
0.01320.1%
 
0.012110.5%
 
0.011160.8%
 

DL
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001889463782
Minimum0
Maximum0.015
Zeros1231
Zeros (%)57.9%
Memory size16.6 KiB
2020-10-14T13:04:35.416176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003
95-th percentile0.008
Maximum0.015
Range0.015
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.002960208577
Coefficient of variation (CV)1.566692416
Kurtosis2.517460858
Mean0.001889463782
Median Absolute Deviation (MAD)0
Skewness1.718436858
Sum4.017
Variance8.762834818e-06
MonotocityNot monotonic
2020-10-14T13:04:35.783194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
0123157.9%
 
0.0011637.7%
 
0.0031185.6%
 
0.0021155.4%
 
0.0041145.4%
 
0.0051075.0%
 
0.006743.5%
 
0.008552.6%
 
0.007542.5%
 
0.009371.7%
 
Other values (6)582.7%
 
ValueCountFrequency (%) 
0123157.9%
 
0.0011637.7%
 
0.0021155.4%
 
0.0031185.6%
 
0.0041145.4%
 
ValueCountFrequency (%) 
0.01530.1%
 
0.01470.3%
 
0.01380.4%
 
0.012120.6%
 
0.011130.6%
 

DS
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
0
2119 
0.001
 
7
ValueCountFrequency (%) 
0211999.7%
 
0.00170.3%
 
2020-10-14T13:04:36.062464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

DP
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001585136406
Minimum0
Maximum0.005
Zeros1948
Zeros (%)91.6%
Memory size16.6 KiB
2020-10-14T13:04:36.319376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum0.005
Range0.005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0005899475164
Coefficient of variation (CV)3.721746053
Kurtosis20.5159178
Mean0.0001585136406
Median Absolute Deviation (MAD)0
Skewness4.323965111
Sum0.337
Variance3.48038072e-07
MonotocityNot monotonic
2020-10-14T13:04:36.614585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
0194891.6%
 
0.002723.4%
 
0.001703.3%
 
0.003241.1%
 
0.00490.4%
 
0.00530.1%
 
ValueCountFrequency (%) 
0194891.6%
 
0.001703.3%
 
0.002723.4%
 
0.003241.1%
 
0.00490.4%
 
ValueCountFrequency (%) 
0.00530.1%
 
0.00490.4%
 
0.003241.1%
 
0.002723.4%
 
0.001703.3%
 

ASTV
Real number (ℝ≥0)

Distinct75
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.9901223
Minimum12
Maximum87
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:37.020254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile21
Q132
median49
Q361
95-th percentile75
Maximum87
Range75
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.19281372
Coefficient of variation (CV)0.3658814423
Kurtosis-1.051029573
Mean46.9901223
Median Absolute Deviation (MAD)14
Skewness-0.01182857622
Sum99901
Variance295.5928436
MonotocityNot monotonic
2020-10-14T13:04:37.333503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60622.9%
 
58612.9%
 
65602.8%
 
63582.7%
 
64582.7%
 
61572.7%
 
51542.5%
 
62512.4%
 
22482.3%
 
25462.2%
 
Other values (65)157173.9%
 
ValueCountFrequency (%) 
1220.1%
 
1370.3%
 
1440.2%
 
1540.2%
 
16120.6%
 
ValueCountFrequency (%) 
871< 0.1%
 
8640.2%
 
8460.3%
 
8340.2%
 
8220.1%
 

MSTV
Real number (ℝ≥0)

Distinct57
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.332784572
Minimum0.2
Maximum7
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:37.674105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.3
Q10.7
median1.2
Q31.7
95-th percentile3
Maximum7
Range6.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8832413341
Coefficient of variation (CV)0.6627037502
Kurtosis4.700756342
Mean1.332784572
Median Absolute Deviation (MAD)0.5
Skewness1.657339204
Sum2833.5
Variance0.7801152543
MonotocityNot monotonic
2020-10-14T13:04:38.013752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.81255.9%
 
0.51215.7%
 
1.31215.7%
 
0.41205.6%
 
0.71175.5%
 
0.91145.4%
 
0.61135.3%
 
1.21075.0%
 
1.51004.7%
 
1994.7%
 
Other values (47)98946.5%
 
ValueCountFrequency (%) 
0.2472.2%
 
0.3844.0%
 
0.41205.6%
 
0.51215.7%
 
0.61135.3%
 
ValueCountFrequency (%) 
71< 0.1%
 
6.91< 0.1%
 
6.320.1%
 
61< 0.1%
 
5.91< 0.1%
 

ALTV
Real number (ℝ≥0)

ZEROS

Distinct87
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.846660395
Minimum0
Maximum91
Zeros1240
Zeros (%)58.3%
Memory size16.6 KiB
2020-10-14T13:04:38.284582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile56
Maximum91
Range91
Interquartile range (IQR)11

Descriptive statistics

Standard deviation18.39687968
Coefficient of variation (CV)1.868336973
Kurtosis4.252997853
Mean9.846660395
Median Absolute Deviation (MAD)0
Skewness2.195075309
Sum20934
Variance338.4451818
MonotocityNot monotonic
2020-10-14T13:04:38.624616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0124058.3%
 
1522.4%
 
2452.1%
 
5432.0%
 
4401.9%
 
3361.7%
 
8341.6%
 
6311.5%
 
12291.4%
 
7231.1%
 
Other values (77)55326.0%
 
ValueCountFrequency (%) 
0124058.3%
 
1522.4%
 
2452.1%
 
3361.7%
 
4401.9%
 
ValueCountFrequency (%) 
9140.2%
 
9020.1%
 
881< 0.1%
 
861< 0.1%
 
851< 0.1%
 

MLTV
Real number (ℝ≥0)

ZEROS

Distinct249
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.187629351
Minimum0
Maximum50.7
Zeros137
Zeros (%)6.4%
Memory size16.6 KiB
2020-10-14T13:04:38.955263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.6
median7.4
Q310.8
95-th percentile18.475
Maximum50.7
Range50.7
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation5.628246604
Coefficient of variation (CV)0.6874085725
Kurtosis4.131253848
Mean8.187629351
Median Absolute Deviation (MAD)3.1
Skewness1.331997908
Sum17406.9
Variance31.67715984
MonotocityNot monotonic
2020-10-14T13:04:39.232951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01376.4%
 
6.7291.4%
 
7.1291.4%
 
5.2251.2%
 
6.5251.2%
 
9.5241.1%
 
8.5231.1%
 
7.2231.1%
 
5.6231.1%
 
6.8231.1%
 
Other values (239)176583.0%
 
ValueCountFrequency (%) 
01376.4%
 
0.140.2%
 
0.240.2%
 
0.390.4%
 
0.460.3%
 
ValueCountFrequency (%) 
50.71< 0.1%
 
41.81< 0.1%
 
40.81< 0.1%
 
36.91< 0.1%
 
35.71< 0.1%
 

Width
Real number (ℝ≥0)

Distinct154
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.44590781
Minimum3
Maximum180
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:39.760452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q137
median67.5
Q3100
95-th percentile138
Maximum180
Range177
Interquartile range (IQR)63

Descriptive statistics

Standard deviation38.95569296
Coefficient of variation (CV)0.5529873086
Kurtosis-0.9022867793
Mean70.44590781
Median Absolute Deviation (MAD)31.5
Skewness0.3142347526
Sum149768
Variance1517.546014
MonotocityNot monotonic
2020-10-14T13:04:40.190176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
39422.0%
 
102351.6%
 
27301.4%
 
31291.4%
 
98281.3%
 
90281.3%
 
96271.3%
 
22271.3%
 
83271.3%
 
42261.2%
 
Other values (144)182785.9%
 
ValueCountFrequency (%) 
320.1%
 
520.1%
 
61< 0.1%
 
730.1%
 
8100.5%
 
ValueCountFrequency (%) 
1801< 0.1%
 
17660.3%
 
16320.1%
 
1621< 0.1%
 
16150.2%
 

Min
Real number (ℝ≥0)

Distinct109
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.579492
Minimum50
Maximum159
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:40.744879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile51
Q167
median93
Q3120
95-th percentile139
Maximum159
Range109
Interquartile range (IQR)53

Descriptive statistics

Standard deviation29.56021226
Coefficient of variation (CV)0.3158834444
Kurtosis-1.290422198
Mean93.579492
Median Absolute Deviation (MAD)27
Skewness0.1157840211
Sum198950
Variance873.8061486
MonotocityNot monotonic
2020-10-14T13:04:41.220368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
50773.6%
 
52502.4%
 
71492.3%
 
120482.3%
 
60452.1%
 
68432.0%
 
67411.9%
 
103401.9%
 
51361.7%
 
62351.6%
 
Other values (99)166278.2%
 
ValueCountFrequency (%) 
50773.6%
 
51361.7%
 
52502.4%
 
53321.5%
 
54271.3%
 
ValueCountFrequency (%) 
1591< 0.1%
 
1581< 0.1%
 
1561< 0.1%
 
15520.1%
 
15430.1%
 

Max
Real number (ℝ≥0)

Distinct86
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.0253998
Minimum122
Maximum238
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:41.912119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile138
Q1152
median162
Q3174
95-th percentile198
Maximum238
Range116
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.94418311
Coefficient of variation (CV)0.1093988073
Kurtosis0.6327694777
Mean164.0253998
Median Absolute Deviation (MAD)11
Skewness0.5778624482
Sum348718
Variance321.9937075
MonotocityNot monotonic
2020-10-14T13:04:42.368689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
157713.3%
 
171663.1%
 
158622.9%
 
156602.8%
 
159582.7%
 
152542.5%
 
154522.4%
 
178522.4%
 
172482.3%
 
165482.3%
 
Other values (76)155573.1%
 
ValueCountFrequency (%) 
12220.1%
 
12320.1%
 
12530.1%
 
12650.2%
 
12720.1%
 
ValueCountFrequency (%) 
23860.3%
 
23030.1%
 
22850.2%
 
2131< 0.1%
 
21150.2%
 

Nmax
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.068203198
Minimum0
Maximum18
Zeros107
Zeros (%)5.0%
Memory size16.6 KiB
2020-10-14T13:04:42.784649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q12
median3
Q36
95-th percentile10
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.949385622
Coefficient of variation (CV)0.7249848343
Kurtosis0.5042105262
Mean4.068203198
Median Absolute Deviation (MAD)2
Skewness0.8928859139
Sum8649
Variance8.698875546
MonotocityNot monotonic
2020-10-14T13:04:43.093067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
135716.8%
 
233115.6%
 
326912.7%
 
425812.1%
 
52109.9%
 
61587.4%
 
71456.8%
 
01075.0%
 
81065.0%
 
9673.2%
 
Other values (8)1185.6%
 
ValueCountFrequency (%) 
01075.0%
 
135716.8%
 
233115.6%
 
326912.7%
 
425812.1%
 
ValueCountFrequency (%) 
181< 0.1%
 
1620.1%
 
151< 0.1%
 
1450.2%
 
13100.5%
 

Nzeros
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3236124177
Minimum0
Maximum10
Zeros1624
Zeros (%)76.4%
Memory size16.6 KiB
2020-10-14T13:04:43.382495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7060593732
Coefficient of variation (CV)2.181805563
Kurtosis30.36508416
Mean0.3236124177
Median Absolute Deviation (MAD)0
Skewness3.920287371
Sum688
Variance0.4985198384
MonotocityNot monotonic
2020-10-14T13:04:43.722496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
0162476.4%
 
136617.2%
 
21085.1%
 
3211.0%
 
520.1%
 
420.1%
 
71< 0.1%
 
101< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
0162476.4%
 
136617.2%
 
21085.1%
 
3211.0%
 
420.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
81< 0.1%
 
71< 0.1%
 
520.1%
 
420.1%
 

Mode
Real number (ℝ≥0)

HIGH CORRELATION

Distinct88
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.4520226
Minimum60
Maximum187
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:44.084644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile111.25
Q1129
median139
Q3148
95-th percentile160
Maximum187
Range127
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.38128927
Coefficient of variation (CV)0.1191782337
Kurtosis3.009530513
Mean137.4520226
Median Absolute Deviation (MAD)10
Skewness-0.9951778449
Sum292223
Variance268.3466383
MonotocityNot monotonic
2020-10-14T13:04:44.369094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1331406.6%
 
150894.2%
 
136894.2%
 
142874.1%
 
148793.7%
 
144783.7%
 
129763.6%
 
143713.3%
 
125673.2%
 
126663.1%
 
Other values (78)128460.4%
 
ValueCountFrequency (%) 
6060.3%
 
6750.2%
 
691< 0.1%
 
711< 0.1%
 
7560.3%
 
ValueCountFrequency (%) 
1871< 0.1%
 
18660.3%
 
18040.2%
 
1791< 0.1%
 
17660.3%
 

Mean
Real number (ℝ≥0)

HIGH CORRELATION

Distinct103
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.6105362
Minimum73
Maximum182
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:44.761732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile108
Q1125
median136
Q3145
95-th percentile157
Maximum182
Range109
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.59359633
Coefficient of variation (CV)0.1158423164
Kurtosis0.9334274874
Mean134.6105362
Median Absolute Deviation (MAD)10
Skewness-0.6510192413
Sum286182
Variance243.1602466
MonotocityNot monotonic
2020-10-14T13:04:45.097122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
143653.1%
 
144643.0%
 
135633.0%
 
141612.9%
 
140602.8%
 
132592.8%
 
133582.7%
 
145582.7%
 
147572.7%
 
136572.7%
 
Other values (93)152471.7%
 
ValueCountFrequency (%) 
731< 0.1%
 
751< 0.1%
 
761< 0.1%
 
781< 0.1%
 
791< 0.1%
 
ValueCountFrequency (%) 
1821< 0.1%
 
1801< 0.1%
 
1781< 0.1%
 
1751< 0.1%
 
17320.1%
 

Median
Real number (ℝ≥0)

HIGH CORRELATION

Distinct95
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.0903104
Minimum77
Maximum186
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:45.580513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile113
Q1129
median139
Q3148
95-th percentile159
Maximum186
Range109
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.46658886
Coefficient of variation (CV)0.1047617954
Kurtosis0.6672593255
Mean138.0903104
Median Absolute Deviation (MAD)10
Skewness-0.478414198
Sum293580
Variance209.2821931
MonotocityNot monotonic
2020-10-14T13:04:45.960616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
146693.2%
 
142683.2%
 
137683.2%
 
145673.2%
 
147653.1%
 
141633.0%
 
151633.0%
 
134622.9%
 
149602.8%
 
143562.6%
 
Other values (85)148569.8%
 
ValueCountFrequency (%) 
771< 0.1%
 
781< 0.1%
 
7920.1%
 
821< 0.1%
 
861< 0.1%
 
ValueCountFrequency (%) 
1861< 0.1%
 
1831< 0.1%
 
1801< 0.1%
 
1781< 0.1%
 
1771< 0.1%
 

Variance
Real number (ℝ≥0)

ZEROS

Distinct133
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.80809031
Minimum0
Maximum269
Zeros187
Zeros (%)8.8%
Memory size16.6 KiB
2020-10-14T13:04:46.251451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q324
95-th percentile76
Maximum269
Range269
Interquartile range (IQR)22

Descriptive statistics

Standard deviation28.97763601
Coefficient of variation (CV)1.540700599
Kurtosis15.13158926
Mean18.80809031
Median Absolute Deviation (MAD)6
Skewness3.219973835
Sum39986
Variance839.7033886
MonotocityNot monotonic
2020-10-14T13:04:46.587389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
124811.7%
 
01878.8%
 
21667.8%
 
31617.6%
 
41085.1%
 
5854.0%
 
8743.5%
 
6653.1%
 
7532.5%
 
9492.3%
 
Other values (123)93043.7%
 
ValueCountFrequency (%) 
01878.8%
 
124811.7%
 
21667.8%
 
31617.6%
 
41085.1%
 
ValueCountFrequency (%) 
2691< 0.1%
 
2541< 0.1%
 
2501< 0.1%
 
2431< 0.1%
 
2411< 0.1%
 

Tendency
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
0
1115 
1
846 
-1
165 
ValueCountFrequency (%) 
0111552.4%
 
184639.8%
 
-11657.8%
 
2020-10-14T13:04:46.965560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-14T13:04:47.172170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:47.457270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length1
Mean length1.077610536
Min length1

CLASS
Real number (ℝ≥0)

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.509877705
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size16.6 KiB
2020-10-14T13:04:47.764096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.02688289
Coefficient of variation (CV)0.6711673993
Kurtosis-1.229040401
Mean4.509877705
Median Absolute Deviation (MAD)2
Skewness0.3811634115
Sum9588
Variance9.162020032
MonotocityNot monotonic
2020-10-14T13:04:48.053182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
257927.2%
 
138418.1%
 
633215.6%
 
725211.9%
 
101979.3%
 
81075.0%
 
4813.8%
 
5723.4%
 
9693.2%
 
3532.5%
 
ValueCountFrequency (%) 
138418.1%
 
257927.2%
 
3532.5%
 
4813.8%
 
5723.4%
 
ValueCountFrequency (%) 
101979.3%
 
9693.2%
 
81075.0%
 
725211.9%
 
633215.6%
 

NSP
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
1
1655 
2
295 
3
176 
ValueCountFrequency (%) 
1165577.8%
 
229513.9%
 
31768.3%
 
2020-10-14T13:04:48.321161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-14T13:04:48.611302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:48.952179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Interactions

2020-10-14T13:02:26.530138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:26.838246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:27.183472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:27.429843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:27.732790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:28.100807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:28.396241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:28.753928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:29.108358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:29.397607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:29.716370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:30.082374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:30.343866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:30.615114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:30.938855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:31.244224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:31.552405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:31.855752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:32.199815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:32.532927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:32.933036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:33.290110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:33.537619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:33.838357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:34.168015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:34.559880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:34.880173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:35.196121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:35.438270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:35.716799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:36.032477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:36.315897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:36.564270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:36.887916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:37.215442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:37.457077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:37.735741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:38.037295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:38.314387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:38.549497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:38.844226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:39.191119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:39.430063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:39.683895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:39.991580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:40.299620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:40.538144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:40.835408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:41.141592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:41.383593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:41.621308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:41.925187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:42.229363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:42.638011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:42.938209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:43.224259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:43.460355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:43.720384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:44.032679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:44.318176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:44.599149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:44.948219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:45.252351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:45.509120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:45.800959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:46.113462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:46.375148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:46.647218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:46.961918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:47.252013image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:47.498437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:47.791674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:48.145515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:48.511140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:49.000259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:49.357193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:49.647817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:49.987691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:50.281633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:50.529414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:50.892017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:51.353875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:51.606913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:51.930100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:52.244365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:52.501574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:52.799793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:53.132416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:53.409889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:53.670520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:53.995190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:54.286172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:54.529444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:54.833549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:55.198904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:55.467583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:55.756987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:56.079592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:56.379467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:56.651132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:57.018150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:57.399575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:57.757285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:58.216390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:02:58.501706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-14T13:04:04.465186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:04.799452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:05.076689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:05.338721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:05.652262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:05.979812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:06.231713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:06.507469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:06.848525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:07.193062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:07.491393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:07.809543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:08.084739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:08.443783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:08.875627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:09.198666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:09.486546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:09.804258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:10.076823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:10.503541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:10.821051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:11.090559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:11.332675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:11.653940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:11.961307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:12.216195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:12.515045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:12.856136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:13.126951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:13.408567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:13.717764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:14.040032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:14.281576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:14.580835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:14.899819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:15.146072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:15.416713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:15.728877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:16.015456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:16.251536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:16.557065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:16.867748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:17.140139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:17.411631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:17.726735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:18.016074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:18.261063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:18.732501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:19.021870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:19.253567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:19.529831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:19.841454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:20.100636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:20.364401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:20.682551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:20.973796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:21.219377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:21.491856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:21.826557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:22.135659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:22.390230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:22.685689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:22.980479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:23.228349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:23.510789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:23.818173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:24.080745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:24.406972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:24.808923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:25.145925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:25.401161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:25.723943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:26.013104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:26.249177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:26.537143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:26.855483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:27.281534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:27.577326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:27.874319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:28.121106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:28.363627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:28.664457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:28.965216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:29.206315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:29.495883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:29.833976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:30.112143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:30.368067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:30.707562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-14T13:04:49.242054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-14T13:04:49.768849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-14T13:04:50.246979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-14T13:04:50.974936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-14T13:04:51.518179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-14T13:04:31.260899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-14T13:04:32.190740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

LBACFMUCDLDSDPASTVMSTVALTVMLTVWidthMinMaxNmaxNzerosModeMeanMedianVarianceTendencyCLASSNSP
01200.0000.00.0000.0000.00.000730.5432.464621262012013712173192
11320.0060.00.0060.0030.00.000172.1010.4130681986114113614012061
21330.0030.00.0080.0030.00.000162.1013.4130681985114113513813061
31340.0030.00.0080.0030.00.000162.4023.01175317011013713413713161
41320.0070.00.0080.0000.00.000162.4019.9117531709013713613811121
51340.0010.00.0100.0090.00.002265.900.0150502005376107107170083
61340.0010.00.0130.0080.00.003296.300.0150502006371107106215083
71220.0000.00.0000.0000.00.000830.5615.66862130001221221233193
81220.0000.00.0020.0000.00.000840.5513.66862130001221221233193
91220.0000.00.0030.0000.00.000860.3610.66862130101221221231193

Last rows

LBACFMUCDLDSDPASTVMSTVALTVMLTVWidthMinMaxNmaxNzerosModeMeanMedianVarianceTendencyCLASSNSP
21161400.0040.0000.0040.0000.00.0800.2362.218140158101471481491021
21171400.0000.0000.0080.0000.00.0790.3208.526124150101441431451111
21181400.0000.0000.0060.0010.00.0790.5267.021129150101451421452111
21191400.0000.0000.0070.0010.00.0790.6276.426124150101441411451111
21201400.0000.0000.0050.0010.00.0770.7176.031124155201451431452011
21211400.0000.0000.0070.0000.00.0790.2257.240137177401531501522052
21221400.0010.0000.0070.0000.00.0780.4227.166103169601521481513152
21231400.0010.0000.0070.0000.00.0790.4206.167103170501531481524152
21241400.0010.0000.0060.0000.00.0780.4277.066103169601521471514152
21251420.0020.0020.0080.0000.00.0740.4365.042117159211451431451011

Duplicate rows

Most frequent

LBACFMUCDLDSDPASTVMSTVALTVMLTVWidthMinMaxNmaxNzerosModeMeanMedianVarianceTendencyCLASSNSPcount
01220.0000.0000.0000.00.00.0191.9015.1391031421012012012230313
11230.0000.0000.0000.00.00.0490.8713.874631372012912712921112
21230.0030.0030.0000.00.00.0520.8215.490501407012912813041212
31230.0030.0040.0000.00.00.0500.9414.882581407012912813051212
41350.0000.0000.0000.00.00.0620.5716.997711683014314214411932
51400.0070.0000.0040.00.00.0341.2010.3601191792015615315550212
61440.0000.0190.0000.00.00.0760.46110.6817115230145144146211022
71450.0000.0200.0000.00.00.0770.2455.82112915010146145147011022
81460.0000.0000.0030.00.00.0650.4397.01913715610150149151111022
91480.0050.0000.0020.00.00.0400.9010.6351361711015315515640212